A Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid

Abstract: Load forecasting plays a crucial role in the efficient management and planning of electricity distribution in smart grids. Machine learning algorithms have shown promising results in load forecasting, enabling accurate predictions and aiding decision-making processes. This paper presents a comprehensive performance comparison of various machine learning algorithms for load forecasting in smart grids...